OpenAI (ChatGPT, Whisper, DALL-E)

Connection

Establish a connection to your OpenAI account.

Limit

Enter the maximum number of results to be worked with during one execution cycle.

Connection

Establish a connection to your OpenAI account.

Assistant

Select or map the assistant you would like to use.

Role

Indicate whether to send a message on behalf of the user or the assistant.

Message

Enter the message to send to the Assistant.

Image Files

Select images you want to include.

Map or select the binary data of the image. You can retrieve the binary data of an image using the HTTP: Get a file module, or another app such as Dropbox.

Images are only supported on certain models. For more information, see OpenAI Vision-compatible models.

Image URLs

Add images you want to include.

Enter the URL address to a public resource of the image. For example, https://getmyimage.com/myimage.png.

Images are only supported on certain models. For more information, see OpenAI Vision-compatible models.

Thread ID

Enter the Thread ID where the message will be stored.

To find your Thread ID, go to the OpenAI Playground, open your assistant, and the Thread ID will be visible.

If Thread ID is left empty, we will create a new thread. You can find the new thread's Thread ID value in the module's response.

Model

Select or map the model you want to use.

Tools

Specify tools in order to override the tools the assistant can use when generating the response.

File Source Resources

Select the vector store that will become available to the File Search tool in this thread.

Code Interpreter Resources

Select the files that will become available to the Code Interpreter tool in this thread.

Instructions

Enter instructions in order to override the default system message of the assistant when generating the response.

Max Prompt Tokens

The maximum number of prompt tokens that may be used over the course of the run. The run will make a best effort to use only the number of prompt tokens specified, across multiple turns of the run. If the run exceeds the number of prompt tokens specified, the run will end with status incomplete. See Incomplete Details in the output for more info.

Max Completion Tokens

The maximum number of completion tokens that may be used over the course of the run. The run will make a best effort to use only the number of completion tokens specified, across multiple turns of the run. If the run exceeds the number of completion tokens specified, the run will end with status  incomplete. See Incomplete Details in the output for more info.

Temperature

Specify the sampling temperature to use.

Higher temperatures generate more diverse and creative responses. For example, 0.8. Lower temperatures generate more focused and well-defined responses. For example, 0.2. The default value is 1.

The value must be lower than or equal to 2.

Top P

Specify the Top P value to use nucleus sampling. This will consider the results of the tokens with probability mass. The default value is 1.

The value must be lower than or equal to 1.

Response Format

Select the format in which the response will be returned.

Truncation Strategy

Select the truncation strategy for the response.

Connection

Establish a connection to your OpenAI account.

Select Method

Select a method to create a completion.

Model

Select or map the model you want to use.

Messages

Add the messages for which you want to create the completion by selecting the Role and entering the Message Content.

For more information about chat completion, refer to the OpenAI documentation.

Max Token

The maximum number of tokens to generate in the completion. The default value is 16.

Temperature

Specify the sampling temperature to use.

A higher value means the model will take more risks. Try 0.9 for more creative applications and 0 (argmax sampling) for ones with a well-defined answer. Defaults to 1.

Top P

An alternative to sampling with temperature is called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. Defaults to 1.

Number

The number of completions to generate for each prompt. Defaults to 1.

Frequency Penalty

Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim. This value must be a number between -2 and 2.

Presence Penalty

Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics. This value must be a number between -2 and 2.

Token Probability

Add the token probability by selecting the Token and Probability. The Probability must be a number between -100 and 100.

Response Format

Choose the format for the response.

Seed

This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Refer to the system_fingerprint response parameter to monitor changes in the backend.

For more information, refer to the OpenAI documentation.

Stop Sequences

Add up to 4 sequences where the API will stop generating further tokens.

Other Input Parameters

Add any additional input parameters by selecting the Parameter Name , the Input Type, and entering the Parameter Value.

For more information, refer to the OpenAI documentation.

Connection

Establish a connection to your OpenAI account.

Model

Select or map the model you want to use.

Text to Parse

Enter the text containing the data that you want to transform.

Prompt

Enter a short description explaining what type of data should be extracted from the text entered above.

Structured Data Definition

Enter parameters or map the way in which the structured data should be returned.

Object Definitions

Enter parameters or map the way in which the objects should be returned.

Connection

Establish a connection to your OpenAI account.

Prompt

Enter instructions for how to analyze the image(s).

Images

Add or map the images you want to analyze.

You can add images by entering an Image URL or Image file data.

Image URL: Enter the URL address to a public resource of the image. For example, https://getmyimage.com/myimage.png.

Image file: Map or select the binary data of the image. You can retrieve the binary data of an image using the HTTP: Get a file module, or another app such as Dropbox.

Model

Select or map the model you want to use.

Max Token

Enter the maximum number of tokens to use for the completion. The default value is 300.

Temperature

Specify the sampling temperature to use.

Higher temperatures generate more diverse and creative responses. For example, 0.8. Lower temperatures generate more focused and well-defined responses. For example, 0.2. The default value is 1.

The value must be lower than or equal to 2.

Top P

Specify the Top P value to use nucleus sampling. This will consider the results of the tokens with probability mass. The default value is 1.

The value must be lower than or equal to 1.

Number

Enter the number of responses to generate. If more than 1 response is generated, the results can be found in the module's output within Choices. The default value is 1.

Connection

Establish a connection to your OpenAI account.

Model

Select or map the model you want to use.

Prompt

Enter details of the images you want to generate. The maximum number of characters allowed is 1000 if your model is Dall-E 2 and 4000 if your model is Dall-E 3.

Size

Select or map the size of the images to generate. It must be one of 256x256, 512x512, or 1024x1024.

Number

Enter the number of images to generate. Enter a number between 1 and 10.

Response Format

Select or map the format in which the generated images are returned.

If you select Base64-encoded PNG, the raw PNG image can be obtained by using the IML function, toBinary(<module_no>.data[].b64_json; base64) in the subsequent modules.

Quality

Select the quality of the generated image. HD generates images with finer details and greater consistency across the image.

Connection

Establish a connection to your OpenAI account.

Image

Enter an image to edit. The file must be in PNG format, less than 4 MB, and square. If a Mask file is not provided, the image must have transparency, which will be used as the mask.

Prompt

Enter details of the images you want to edit. The maximum number of characters allowed is 1000.

Mask

Enter an additional image with fully transparent areas (where alpha is zero). The transparent areas indicate where the Image will be edited. The file must be in PNG format, less than 4 MB, and the same dimensions as Image above.

Number

Enter the number of images to generate. Enter a number between 1 and 10.

Size

Select or map the size of the images to generate. It must be one of 256x256, 512x512, or 1024x1024.

Response Format

Select or map the format in which the generated images are returned.

If you select Base64-encoded PNG, the raw PNG image can be obtained by using the IML function, toBinary(<module_no>.data[].b64_json; base64) in the subsequent modules.

Connection

Establish a connection to your OpenAI account.

File Name

Enter the name of the file you want to translate.

File Data

Enter the data of the file you want to translate.

Model

Select or map the model you want to use. Refer to the OpenAI Audio API documentation for information on available models.

Prompt

Enter text to guide the model's style or continue a previous audio segment. (Optional) The prompt should be in English.

Temperature

Enter a sampling temperature between 0 and 1. Higher values, such as 0.8, will make the output more random. Lower values, such as 0.2, will make it more focused and deterministic.

Connection

Establish a connection to your OpenAI account.

File Name

Enter the name of the file you want to transcribe.

File Data

Enter the data of the file you want to transcribe.

Model

Select or map the model you want to use. Refer to the OpenAI Audio API documentation for information on available models.

Prompt

Enter text to guide the model's style or continue a previous audio segment. (Optional) The prompt should be in the same language as the audio.

Temperature

Enter a sampling temperature between 0 and 1. Higher values, such as 0.8, will make the output more random. Lower values, such as 0.2, will make it more focused and deterministic.

Language

Enter the two letter ISO code of the input audio's language.

Connection

Establish a connection to your OpenAI account.

Input

Enter the text for which you want to create the moderation. The module will classify the content against OpenAI's Content Policy.

Model

Select or map the model you want to use. If empty, defaults to text-moderation-latest.

Connection

Establish a connection to your OpenAI account.

Input

Enter text to generate into audio.

The text must be between 1 and 4096 characters long.

Model

Select or map the model you want to use.

Voice

Select or map the voice to use in the audio. For voice samples, see the OpenAI Voice Options guide.

Output Filename

Enter a name for the generated audio file. Do not include the file extension.

Response Format

Select or map the file format for the generated audio file.

Speed

Enter a value for the speed of the audio.

This must be a number between 0.25 and 4.

Connection

Establish a connection to your OpenAI account.

Batch Create Mode

Choose if you would like to create a new vector store or choose an existing vector store.

Vector Store ID

Select the vector store.

Vector Store Name

Enter a name for a new vector store.

Days Expires After

Enter the number of days of inactivity for the vector store. When the specified amount of days have passed, the vector store expires.

File IDs

Select the files to add to a vector store. For a list of supported file formats, see Open AI File Search supported files.

Connection

Establish a connection to your OpenAI account.

File Name

Enter the name of the file to be uploaded, including the file extension. For example, myFile.png.

Supported file types depend on the option selected in the Purpose field below. The Fine Tune purpose supports only .jsonl files.

See the Assistants Tools guide to learn more about the supported file types.

File Data

Enter the file data to be uploaded. You can retrieve file data using the HTTP: Get a file module.

Purpose

Select or map the purpose. Select Assistants for Assistants and Messages and Fine Tune for Fine-tuning.

Connection

Establish a connection to your OpenAI account.

Limit

Enter the maximum number of returned results (bundles).

Connection

Establish a connection to your OpenAI account.

Batch ID

Select a batch to retrieve.

Connection

Establish a connection to your OpenAI account.

Input File ID

Select a file to use as input to create a batch.

Endpoint

Select the endpoint to use for all requests in the batch. Note that /v1/embeddings batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch.

Connection

Establish a connection to your OpenAI account.

Batch ID

Select a batch to cancel.

Connection

Establish a connection to your OpenAI account.

URL

Enter a path relative to https://api.openai.com. For example, /v1/models.

Method

GET

to retrieve information for an entry.

POST

to create a new entry.

PUT

to update/replace an existing entry.

PATCH

to make a partial entry update.

DELETE

to delete an entry.

Headers

Enter the desired request headers. You don't have to add authorization headers; we already did that for you.

Query String

Enter the request query string.

Body

Enter the body content for your API call.